SAR-optical feature matching: A large-scale patch dataset and a deep local descriptor

[1]  Yongjun Zhang,et al.  QGORE: Quadratic-Time Guaranteed Outlier Removal for Point Cloud Registration , 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Y. Ye,et al.  Self-Supervised Keypoint Detection and Cross-Fusion Matching Networks for Multimodal Remote Sensing Image Registration , 2022, Remote. Sens..

[3]  Jiri Matas,et al.  Marginalizing Sample Consensus , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Qingwu Hu,et al.  Point Cloud Registration Based on 1-point RANSAC and Scale-annealing Biweight Estimation , 2020 .

[5]  Devis Tuia,et al.  A deep learning framework for matching of SAR and optical imagery , 2020 .

[6]  Krystian Mikolajczyk,et al.  HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss , 2020, NeurIPS.

[7]  Heng-Chao Li,et al.  SAR Image Change Detection Based on Multiscale Capsule Network , 2020, IEEE Geoscience and Remote Sensing Letters.

[8]  Qingwu Hu,et al.  RIFT: Multi-Modal Image Matching Based on Radiation-Variation Insensitive Feature Transform , 2019, IEEE Transactions on Image Processing.

[9]  Jun-Wei Hsieh,et al.  CSPNet: A New Backbone that can Enhance Learning Capability of CNN , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[10]  Ning Huyan,et al.  AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[11]  Yue Yu,et al.  SAR-to-Optical Image Translation Using Supervised Cycle-Consistent Adversarial Networks , 2019, IEEE Access.

[12]  Amin Sedaghat,et al.  Illumination-Robust remote sensing image matching based on oriented self-similarity , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

[13]  Han Zhang,et al.  Registration of Multimodal Remote Sensing Image Based on Deep Fully Convolutional Neural Network , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[14]  Xin Yu,et al.  SOSNet: Second Order Similarity Regularization for Local Descriptor Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Kyungdon Joo,et al.  Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution , 2018, Pattern Recognit. Lett..

[16]  Yuming Xiang,et al.  OS-SIFT: A Robust SIFT-Like Algorithm for High-Resolution Optical-to-SAR Image Registration in Suburban Areas , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Tomasz Malisiewicz,et al.  SuperPoint: Self-Supervised Interest Point Detection and Description , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[18]  Jiri Matas,et al.  Working hard to know your neighbor's margins: Local descriptor learning loss , 2017, NIPS.

[19]  Andrea Vedaldi,et al.  HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Lorenzo Bruzzone,et al.  Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Kilian Q. Weinberger,et al.  Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[22]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Amin Sedaghat,et al.  Distinctive Order Based Self-Similarity descriptor for multi-sensor remote sensing image matching , 2015 .

[24]  Aaron C. Courville,et al.  Generative Adversarial Nets , 2014, NIPS.

[25]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[26]  Sabine Süsstrunk,et al.  Multi-spectral SIFT for scene category recognition , 2011, CVPR 2011.

[27]  Jie Tian,et al.  A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration , 2010, IEEE Transactions on Biomedical Engineering.

[28]  Tae Hee Han,et al.  Fast Normalized Cross-Correlation , 2009, Circuits Syst. Signal Process..

[29]  Matthew A. Brown,et al.  Learning Local Image Descriptors , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[30]  Eli Shechtman,et al.  Matching Local Self-Similarities across Images and Videos , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[31]  Tom Drummond,et al.  Machine Learning for High-Speed Corner Detection , 2006, ECCV.

[32]  Jiri Matas,et al.  Two-view geometry estimation unaffected by a dominant plane , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[33]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[34]  Hassan Foroosh,et al.  Extension of phase correlation to subpixel registration , 2002, IEEE Trans. Image Process..

[35]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1995, Proceedings of IEEE International Conference on Computer Vision.

[36]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[37]  B. Hou,et al.  Self-Distillation Feature Learning Network for Optical and SAR Image Registration , 2022, IEEE Transactions on Geoscience and Remote Sensing.

[38]  Zhaoxiang Zhang,et al.  Unsupervised SAR and Optical Image Matching Using Siamese Domain Adaptation , 2022, IEEE Transactions on Geoscience and Remote Sensing.

[39]  Qingwu Hu,et al.  LNIFT: Locally Normalized Image for Rotation Invariant Multimodal Feature Matching , 2022, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Yuanxin Ye,et al.  Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features , 2022, IEEE Geoscience and Remote Sensing Letters.

[41]  Qiuze Yu,et al.  Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor , 2021 .

[42]  Guowang Jin,et al.  Self-Similarity Features for Multimodal Remote Sensing Image Matching , 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[43]  Bing Han,et al.  Automatic Registration of Optical and SAR Images Via Improved Phase Congruency Model , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[44]  Maoguo Gong,et al.  Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching , 2017, IEEE Geoscience and Remote Sensing Letters.

[45]  Julie Delon,et al.  SAR-SIFT: A SIFT-Like Algorithm for SAR Images , 2015, IEEE Trans. Geosci. Remote. Sens..

[46]  Christopher Hunt SURF: Speeded-Up Robust Features , 2009 .